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1 Article Reduction of Trace but Not Delay Eyeblink Conditioning in Panic Disorder Christian Grillon, Ph.D. Shmuel Lissek, Ph.D. Dana McDowell, B.A. Jessica Levenson, B.A. Daniel S. Pine, M.D. Objective: Individuals with panic disorder perceive panic attacks as unpredictable. Because predictability is fundamental to Pavlovian conditioning, failure to predict panic attacks could be due to a basic deficit in conditioning. The present study examined trace eyeblink conditioning in order to test the hypothesis that individuals with panic disorder are impaired in associative learning tasks that depend on declarative memory. Method: Delay and trace eyeblink conditioning were tested in separate experimental sessions in 19 individuals meeting DSM-IV criteria for panic disorder and 19 sex- and age-matched healthy comparison subjects. In the delay paradigm, a mild puff was delivered to the eye at the end of a 500-msec tone; in the trace paradigm, the puff was delivered after a 700- msec empty trace interval that followed the end of the tone. Results: Patients and comparison subjects showed similar rates of s in the delay paradigm, but patients showed reduced rates of s in the trace paradigm. Conclusions: These results suggest that individuals with panic disorder suffer from a deficit in declarative associative learning. Such a deficit points to impaired hippocampal function that may disrupt cognitive processing of internal and external cues predictive of a panic attack. (Am J Psychiatry 2007; 164: ) To be diagnosed with panic disorder, a person must experience recurrent unexpected panic attacks, that is, panic attacks not triggered by a cue. Panic disorder is also characterized in DSM-IV by intense persistent concerns or anticipatory anxiety about future panic attacks. This propensity to develop anxiety focused on the next potential panic attack is a distinguishing feature of panic disorder (1). Underlying the symptom of anticipatory anxiety is a perceived sense that panic attacks are uncontrollable and unpredictable (2). Predictability is fundamental to Pavlovian conditioning, a process of contingency or associative learning (3). Pavlovian conditioning is an adaptive associative process that enables organisms to learn to anticipate events, aversive or otherwise. It is conceivable that a basic deficit in forming appropriate associations prevents individuals with panic disorder from learning to associate predictive cues with panic attacks. Failure to predict dangers, such as panic attacks, could lead to a chronic state of anticipatory anxiety (4, 5). Preliminary evidence for this hypothesis comes from studies showing that, in humans, failure to condition properly and to learn to predict aversive stimuli results in enhanced anticipatory anxiety (5, 6) and in heightened subjective expectancy of danger (7). The mechanism underlying associative learning can be tested using Pavlovian aversive conditioning experiments such as eyeblink conditioning, a well-defined associative learning paradigm (8, 9). During eyeblink conditioning, a puff of air to the eye (un stimulus) is paired repeatedly with a short-duration tone ( stimulus), causing subjects to blink (un ). Following several tone puff pairings, an eyeblink, constituting a, develops subsequent to the tone presentation and prior to the delivery of the puff. The present study investigated associative learning deficits as a potential pathogenic mechanism for panic disorder using eyeblink conditioning. In general, eyeblink conditioning studies have not supported the hypothesis of impaired Pavlovian conditioning in anxious subjects. If anything, anxiety has been associated traditionally with enhanced, not reduced, eyeblink conditioning (10). However, enhanced eyeblink conditioning has been reported in individuals with high trait anxiety rather than patients with panic disorder, for whom there are no published data yet. Conditioning in pathological anxiety states may differ from conditioning in high trait anxiety. In addition, these studies have used delay eyeblink conditioning, a test of nondeclarative associative learning mediated by the cerebellum (8). In delay eyeblink conditioning, the un stimulus (puff) is administered at the end of the stimulus (tone). Because delay eyeblink conditioning can occur in the absence of awareness, it may be an unsuitable model for associative learning processes related to panic attacks. While cues for panic attacks may exist in the absence of awareness (11), unperceived cues may take the form of in- 283

2 EYEBLINK CONDITIONING IN PANIC DISORDER ternal sensations, cognitions, or external triggers (1). Trace eyeblink conditioning provides an excellent model for this type of declarative associative learning (9). Trace eyeblink conditioning differs from delay eyeblink conditioning in that the un stimulus (puff) follows an empty (trace) interval (e.g., 1000 msec) that separates the end of the stimulus (tone) from the onset of the un stimulus. Trace eyeblink conditioning is more complex than delay eyeblink conditioning because of the temporal gap between the stimulus and the un stimulus, which requires the formation of an abstract link between the two stimuli before learning can occur. Substantial evidence has implicated the hippocampus in encoding of the temporal trace association between the stimulus and the un stimulus for long trace intervals (8, 12). Indeed, clinical studies indicate reduced trace eyeblink conditioning in patients with temporal lesions with trace intervals that exceed 1000 msec (9, 13, 14). Trace eyeblink conditioning could provide valuable information regarding associative learning in panic disorder. Unlike the delay paradigm, the occurrence of eyeblink s during trace eyeblink conditioning is critically dependent on subjects awareness of the tone puff contingency (as reported by Spence and Beecroft [10] but see also the study of LaBar and Disterhoft [15]). Because it is a test of declarative learning, trace eyeblink conditioning may be a better model for expectancy-based associative learning required to experience a sense of predictability over one s environment. We therefore hypothesized that individuals with panic disorder would exhibit reduced s during trace eyeblink conditioning but not during delay eyeblink conditioning. Method Participants Nineteen patients with panic disorder (13 women and six men; mean age=35.0 years [SD=9.1]) and 19 age- and sex-matched healthy comparison subjects (mean age=31.6 years [SD=9.0]) participated in the study. All patients had been free of medication for at least 4 weeks preceding the testing. Participants in the patient group met DSM-IV criteria for panic disorder according to the Structural Clinical Interview for DSM-IV Axis I Disorders (SCID). Comorbid diagnoses among the panic patients included current major depressive disorder (N=5), past major depressive disorder (N=4), and social anxiety disorder (N=5). Healthy comparison subjects had no current or past psychiatric diagnoses according to the SCID. Patients had significantly higher scores than did the healthy comparison subjects on the following measures: the state portion of the Spielberger State-Trait Anxiety Inventory (46.6 [SD=13.9] versus 26.6 [SD=4.8], respectively; t=6.0, df=36, p<0.0009), Beck Depression Inventory (11.3 [SD=2.1] versus 1.5 [SD=2.1]; t=4.2, df=36, p<0.0009), Beck Anxiety Inventory (15.6 [SD=11.2] versus 2.1 [SD=4.6]; t=0.51, df=36, p<0.0009), and Anxiety Sensitivity Index (16) (36.6 [SD=14.1] versus 13.2 [SD=7.3]; t= 6.2, df=34, p<0.0009). After complete description of the study to the subjects, written informed consent was obtained. Stimulus and Recording Apparatus The stimulus was a 500-msec pure 1-kHz tone at 75 db(a) delivered binaurally through headphones. The un stimulus was a 10-psi air puff (measured at the level of the air tank as opposed to the eye) with duration of 50 msec delivered to the right eye. The eye were assessed by recording right eye EMG activity with two miniature electrodes (impedance below 5 kω). The EMG was filtered (30 500Hz) and integrated with a 10-msec time constant. Design The eyeblink conditioning procedure was a part of a larger study conducted over two testing sessions separated by 1 week. In each of the two sessions, the eyeblink conditioning experiment was preceded by a mildly aversive procedure, either a threat experiment in which unpleasant sounds were anticipated (first session) or an aversive conditioning test in which mildly unpleasant shocks were administered (second session). During these tests, psychophysiological measures were recorded including the skin conductance, the ECG, and the eyeblink reflex to startling stimuli. The eyeblink conditioning tests were given 40 minutes after these tests in a counterbalanced manner over the two sessions. Prior to the eyeblink conditioning tests, subjects were told that they would hear tones and receive puffs of air to one eye. They were asked to blink naturally. Awareness of the stimulus/un stimulus contingency was not assessed because assessing awareness after one task (e.g., delay paradigm) could have influenced the way subjects approached the second task (e.g., trace eyeblink). In addition, several reviews have emphasized the difficulties in assessing subjective awareness (17, 18). Eyeblink Conditioning For both types of conditioning, the experiment consisted of the delivery of four puff-alone (without tone) trials followed by five tone-alone (without puff) trials, followed by six acquisition blocks and two extinction blocks. Each acquisition block started with one tone-alone trial followed by nine tone/puff trials. Each extinction block consisted of 10 tone-alone trials. The interval between trials varied between 10 and 14 seconds. Delay and trace eyeblink conditioning differed only with respect to the time of puff delivery following the tone in tone/puff trials during acquisition (Figure 1). In the delay paradigm, the puff was delivered at the end of the tone (500 msec after tone termination). In the trace paradigm, a long trace interval was selected to ensure involvement of the hippocampus (13). The puff was delivered 700 msec after tone termination resulting in a msec trace interval between the stimulus onset and un stimulus onset. Data Analysis One patient had only a partial recording of the extinction phase of the delay eyeblink conditioning due to technical problems. This subject s data for this phase of the study were excluded from the analysis. Un blink magnitudes to the puff were scored using the largest EMG peak that occurred msec post puff onset during the initial puff-alone presentation. For the analysis of delay eyeblink conditioning, a was defined as a blink occurring msec following tone onset (Figure 1). The analysis of s in a trace paradigm is complicated by the fact that the longer time interval between tone and puff provides a greater probability to record spontaneous or base. Rate of spontaneous/base were estimated by calculating the blink rate in the 400 msec that preceded the tone (Figure 1). In addition, to minimize the potential impact of spontaneous on the estimation of s in the trace paradigm, we identified adaptive s. An adaptive, which 284 ajp.psychiatryonline.org Am J Psychiatry 164:2, February 2007

3 GRILLON, LISSEK, MCDOWELL, ET AL. occurs msec before the onset of the puff, is elicited at an appropriate time to protect the eye from the puff (19). Accordingly, were counted as adaptive s if their onset latency fell in the 400-msec period that preceded the puff ( msec posttone onset). Blinks with an onset occurring msec following tone onset were considered as nonadaptive s. Blinks in the first 100 msec after tone onset were classified as alpha s (20). Alpha s did not differ between groups and are not further considered. Statistics The delay and trace data were analyzed separately. Preliminary analyses indicated no main gender effect or gender-by-group interaction and no effect of presentation order of the delay and trace eyeblink conditioning tests. Hence, gender and order were not included in subsequent analyses. Un blink magnitudes during the puff habituation period were averaged over the four trials and compared across groups using a t test. Base blink rates, nonadaptive s (trace conditioning only), and adaptive s were averaged within blocks. Because the window of analysis for nonadaptive s was longer (700 msec) than that for base (400 msec) or adaptive s (400 msec) in the trace conditioning study, the rate of nonadaptive s was expressed relative to a 400-msec window by multiplying the rate of nonadaptive s by 400/700. This enabled us to use a similar metric to compare the different types of s across windows of analysis. In order to analyze performance, the s during delay conditioning and the nonadaptive and adaptive s in the trace conditioning study were contrasted to the rate of spontaneous base. The rate of s was entered into separate ANOVAs examining the interactions of group (comparison subjects, patients), block (acquisition, extinction), and analysis window (base eyeblink, ); for the trace paradigm, learning was assessed by nonadaptive or adaptive s. Evidence of conditioning was expected to be reflected by a significant main effect of analysis window or a significant analysis window-by-block interaction (due to greater rates of relative to base ). Greenhouse Geisser epsilon corrections were implemented when appropriate to counter violations of the sphericity assumption underlying ANOVA with repeated measures. Results Delay Conditioning The magnitude of the un eyeblink to the puff during the puff habituation phase did not differ between the comparison subjects (mean=61.7 µv, SD= 38.2) and the panic disorder patients (mean=65.6 µv, SD= 31.8). Figure 2 shows the rate of s in the two groups during acquisition and extinction blocks. The mean rate of s was greater than the base rate of (Figure 3), indicating that both groups with no difference between groups. This was statistically supported by a significant main effect of analysis window (F=106.9, df=1, 36, p<0.0009), with no significant group effect or group-by-analysis window interaction. The linear block effect (F=5.9, df=1, 36, p<0.02) and the linear block-by-analysis window interaction (F=18.1, df=1, 36, p<0.0009) were significant because FIGURE 1. Schematic Depiction of Delay and Trace Eyeblink Conditioning a Delay EMG stimulus minus un stimulus Trace EMG Base Base stimulus minus un stimlus Tone 500 msec Tone a In the delay paradigm, the puff (un stimulus) was delivered at the end of the 500-msec duration tone ( stimulus). In the trace paradigm, the puff was delivered after a 700-msec empty trace interval following the tone. In both paradigms, the base rate of spontaneous was calculated in the 400 msec that preceded tone onset. In the delay paradigm, occurring in the msec post tone onset were considered s. In the trace procedures, occurring in the msec and msec post tone onset were considered nonadaptive and adaptive s, respectively. The rate of alpha s was calculated in the first 100 msec that followed the onset of the tone (not shown). of a progressive increase in the rate of s over blocks. During extinction, the group main effect was not significant, but both the analysis window main effect (F=16.7, df=1, 35, p<0.0009) and the group-by-analysis window interaction (F=7.6, df=1, 35, p<0.009) were significant. These results reflected higher rates of s compared with base, especially in the patients. Follow up tests showed no group difference in base but a greater rate of s in the patients that approached significance (F=3.7, df=1, 36, p=0.06), perhaps because of slower extinction in the patient groups. Trace Conditioning Puff Nonadaptive Un Adaptive 500 msec 700 msec Un Puff The magnitude of the un eyeblink to the puff during the puff habituation phase did not differ significantly between the comparison subjects (mean=55.2 µv, SD=8.9) and the patients (mean=74.1 µv, SD=4.3). Figure 2 shows the rate of adaptive and nonadaptive condi- 285

4 EYEBLINK CONDITIONING IN PANIC DISORDER FIGURE 2. Response Rates During Acquisition and Extinction Blocks in the Delay and Trace Paradigms Among Panic Disorder Patients and Comparison Subjects Percent Responses *p<0.05. Delay Comparison subjects (N=19) Adaptive s Nonadaptive s Acquisition Block Extinction Block Panic disorder patients (N=19) Adaptive s Nonadaptive s Trace * * * * Acquisition Block Extinction Block FIGURE 3. Overall Blink Rates Among Panic Disorder Patients and Comparison Subjects During Delay and Trace Paradigms Mean (±SD) Rate of Blinks (%) Spontaneous s Delay *p<0.05.**p< Comparison subjects (N=19) Spontaneous Panic disorder patients (N=19) *** *** *** Nonadaptive s Trace Adaptive s tioned s in the two groups. Both groups showed higher rates of adaptive s compared with base blink rates (analysis window: F=99.8, df=1, 36, p< [Figure 3]), indicating that both groups. However, the rate of adaptive s was greater in the comparison subjects than in the patients (group-by-analysis window: F=11.8, df=1, 36, p<0.001). Follow up tests confirmed the higher rates of * adaptive s compared with base blink rates in both the comparison subjects (F=90.2, df=1, 36, p<0.0009) and the patients (F=21.4, df=1, 36, p<0.0009). However, there were more adaptive s in the comparison subjects than in the patients (F=6.0, df= 1, 36, p<0.02). This effect was due to the fact that both groups acquired s similarly in the first block, but while the comparison subjects showed increasing rates of s as conditioning proceeded (linear trend: F=7.2, df=1, 18, p<0.01), the patients did not, showing virtually the same rate of s in the first and last acquisition blocks. As mentioned in the Statistics section of the Method, the rate of nonadaptive in the trace study was multiplied by 400/700 to express the data over a 400-msec window as for the base blink rates and the adaptive (the mean raw rates, averaged over the six acquisition blocks, were 10.2% [SD=9.0] and 27.6% [SD=21.0] in the comparison and patient groups, respectively). For nonadaptive s, there were only significant main effects of 1) group (F=6.0, df=1, 36, p<0.02) because of the overall higher blink rates among the patients relative to the comparison subjects, and 2) analysis window (F=5.5, df=1, 36, p<0.02), caused by higher rate of base compared with nonadaptive (Figure 3). The group-by-analysis window interaction effect was not significant. Taken together, these results indicate higher rates of base in the patients, with no evidence of s in the nonadaptive window. During extinction, the analysis window main effect was significant (F=4.1, df=1, 36, p<0.04) because of a higher rate of adaptive s compared with base. Neither the group main effect nor the group- 286 ajp.psychiatryonline.org Am J Psychiatry 164:2, February 2007

5 GRILLON, LISSEK, MCDOWELL, ET AL. by-analysis window interaction were significant, suggesting similar extinction in the two groups. Effect of Comorbidity There was no difference between patients with and without comorbidity for any variable. Specifically, the patients with and without comorbidity showed similar rates of base (0.22 [SD=0.21] and 0.14 [SD=0.20], respectively), nonadaptive s (0.30 [SD= 0.07] and 0.21 [SD=0.07]), and adaptive s (0.40 [SD=0.28] and 0.40 [SD=0.26]) in the trace conditioning study. In addition, results in patients without comorbid disorders were compared to results in the comparison subjects. Results confirmed the main analysis. The rate of spontaneous was similar in the two groups, but the overall rate of adaptive s was greater in the comparison subjects than in the patients (F=4.5, df=1, 26, p<0.04). Correlations No significant correlations were found between the various measures of conditioning and scores on the State- Trait Anxiety Inventory, Anxiety Sensitivity Index, Beck Depression Inventory, or Beck Anxiety Inventory. The bivariate relation between base and s was examined to assess the potential influence of spontaneous on the rate of s. There was a positive correlation between base blink rates and the rate of s in the delay eyeblink conditioning tests in both the comparison subjects (r=0.50, p<0.02) and the patients (r=0.60, p<0.007). There was also a positive correlation between base blink rates and the rate of adaptive s in the trace eyeblink conditioning test in the patients only (r= 0.50, p<0.02). These results suggest an influence of base on the rate of s, especially in the patients. Discussion This is the first eyeblink conditioning study in individuals with panic disorder. Consistent with our hypothesis of impaired declarative associative learning in panic disorder, the panic disorder patients showed impaired trace but not delay eyeblink conditioning. Such a deficit could play a role in the pathology of panic disorder underlying the perceived sense that panic attacks are unpredictable, thus promoting anticipatory anxiety. The finding of impaired eyeblink conditioning in panic disorder emphasizes a distinct aspect of cognitive dysfunction in panic disorder relative to other cognitive models that stress the role of attentional and memory biases in anxiety disorders (21). These models predict enhanced detection of and memory for threat-related materials among anxious individuals, including panic disorder (22). Because of this attentional bias, one might expect individuals with panic disorder to learn quickly about signals that predict an aversive event during conditioning. However, it is important to note that the majority of these studies rely on threat-related verbal stimuli that are likely to engage cortically based processes involved in learning and memory. The current study investigated measures of learning less strongly related to cortically based processes, and no previous studies have used similar procedures in panic disorder patients. Given past work implicating perturbed hippocampal function in panic disorder (23, 24), one might expect anxious individuals to show poor learning in paradigms that require declarative memories of the stimulus (25). The present results are consistent with this second interpretation. Deficits in associative learning could increase anticipatory anxiety and the generalization of fear in individuals with panic disorder. Predictability is fundamental to conditioning. Prediction is a mitigating factor in to aversive events, and lack of prediction is a causal factor in the experimental neurosis models of anxiety and depression (26). Failure to condition could prevent individuals with panic disorder from recognizing predictive cues, leading to the feeling that panic attacks are unpredictable. Unpredictable aversive events are more debilitating than predictable aversive events because they lead to a chronic state of anticipatory anxiety and enhanced avoidance (5, 27). Likewise, impairment in declarative associative learning could also increase the generalization of fear. Fear conditioning leads to adaptive fear s to the stimulus, but fear generalizes to the experimental context in individuals who do not learn to condition (5, 6). This could explain the tendency of individuals with panic disorder to avoid contexts associated with a panic attack. The CA1 region of the hippocampus is a primary area of interest due to its role in complex sensory processing, such as trace eyeblink conditioning (28), fear conditioning (29), and anxiety (30). It will be interesting to examine whether individuals with panic disorder also show deficits in another hippocampus-mediated conditioning task, context conditioning. Context conditioning, a form of conditioning in which aversive events become associated with places and situations, is an ideal model for agoraphobic avoidance (31). Contexts are also critical to determine performance after extinction (32). The present results cannot be attributed to nonassociative processes. Both the un magnitude and spontaneous, which could be erroneously counted as a, can affect the rate of s. The un did not differ between the two groups and the base rate of was higher in the patients relative to the comparison subjects. One could argue that spontaneous interfered with the ability of patients to generate s. This is unlikely, since the rate of s was positively correlated with the base blink rates in the patients. Thus, if anything, the rate 287

6 EYEBLINK CONDITIONING IN PANIC DISORDER of adaptive s was overestimated in the patients. The base rate of was higher in the patients than in the comparison subjects in the trace paradigm. Since this effect was not found in the delay paradigm, it may be due to the failure to condition properly. Conditioning is an adaptive process that promotes appropriate s timed with the un stimulus. One possibility is that deficits in conditioning lead to a more diffuse expression of these s across time, resulting in less adaptive s, more nonadaptive s, and higher rates of base. Consistent with this interpretation, we previously reported that subjects who condition during a fear conditioning experiment showed an appropriate fear during the stimulus, whereas subjects who did not condition showed increased anxiety throughout the experiment (5). There were a number of limitations in this study. The eyeblink conditioning tasks were preceded by mildly stressful experiments, which could have affected performance (33). This is unlikely, since stress impacts trace and delay eyeblink conditioning similarly (33), but we found deficits in the patients in the trace paradigm but not in the delay paradigm. Nevertheless, the present findings should be replicated in the absence of explicit stressors. About half the patients had a comorbid disorder, including major depressive disorder, a disorder that has been associated with impaired eyeblink conditioning (34). However, findings were not influenced by comorbidity. First, patients with and without comorbid disorders showed similar rates of conditioning. Second, when analyzed individually, panic disorder patients without comorbid disorders showed significantly reduced trace eyeblink conditioning relative to comparison subjects. Finally, major depressive disorder is also associated with deficits in delay eyeblink conditioning, not trace eyeblink conditioning (34). We did not detect differences between men and women, but because of the small number of men in the study, any difference would have been difficult to detect. Even if the results did not generalize to men, the findings would be significant given the higher rate of panic disorder in women than men (35). The present eyeblink conditioning study found that panic patients had impaired associative learning in the trace paradigm but not in the delay paradigm. These results point to a cognitive dysfunction in declarative associative learning that could impact individuals with panic disorder s awareness of cues associated with panic attacks, possibly leading to enhanced anticipatory anxiety and contextual fear. Longitudinal trace eyeblink conditioning studies in individuals at risk for panic disorder may help determine if such a dysfunction is a risk factor or a consequence of this disorder. Received Feb. 27, 2006; revisions received May 26 and July 12, 2006; accepted Aug. 7, From the NIMH Mood and Anxiety Disorders Program. Address correspondence and reprint requests to Dr. Grillon, NIMH Mood and Anxiety Disorders Program, 15K North Dr., MSC 2670, Bethesda, MD ; grillonc@intra.nimh.nih.gov ( ). All authors report no competing interests. Financial support of this study was provided by the Intramural Research Program of the National Institute of Mental Health. References 1. Barlow DH: Anxiety and Its Disorders: The Nature and Treatment of Anxiety and Panic. New York, Guilford, Barlow DH: Unraveling the mysteries of anxiety and its disorders from the perspective of emotion theory. 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7 GRILLON, LISSEK, MCDOWELL, ET AL. 20. Gormezano I: Classical conditioning, in Experimental Methods and Instrumentation in Psychology. Edited by Sidowski JB. New York, McGraw-Hill, 1966, pp Eysenck HJ: Anxiety: The Cognitive Perspective. Hillsdale, NJ, Erlbaum, Becker ES, Roth WT, Andrich M, Margraf J: Explicit memory in anxiety disorders. J Abnorm Psychol 1999; 108: Sakai Y, Kumano H, Nishikawa M, Sakano Y, Kaiya H, Imabayashi E, Ohnishi T, Matsuda H, Yasuda A, Sato A, Diksic M, Kuboki T: Cerebral glucose metabolism associated with a fear network in panic disorder. Neuroreport 2005; 16: Bisaga A, Katz JL, Antonini A, Wright CE, Margouleff C, Gorman JM, Eidelberg D: Cerebral glucose metabolism in women with panic disorder. Am J Psychiatry 1998; 155: Grillon C: Startle reactivity and anxiety disorders: aversive conditioning, context, and neurobiology. Biol Psychiatry 2002; 52: Mineka S, Kihlstrom JF: Unpredictable and uncontrollable events: a new perspective on experimental neurosis. J Abnorm Psychol 1978; 87: Grillon C, Baas JM, Cornwell B, Johnson L: Context conditioning and behavioral avoidance in a virtual reality environment: effect of predictability. Biol Psychiatry 2006; 60: Weiss C, Sametsky E, Sasse A, Spiess J, Disterhoft JF: Acute stress facilitates trace eyeblink conditioning in C57BL/6 male mice and increases the excitability of their CA1 pyramidal neurons. Learn Mem 2005; 12: Múnera A, Gruart A, Muñoz MD, Fernández-Mas R, Delgado- García JM: Hippocampal pyramidal cell activity encodes stimulus predictive value during classical conditioning in alert cats. J Neurophysiology 2001; 86: McNaughton N, Gray JA: Anxiolytic action on the behavioural inhibition system implies multiple types of arousal contribute to anxiety. J Affect Disord 2000; 61: Gorman JM, Kent JM, Sullivan GM, Coplan JD: Neuroanatomical hypothesis of panic disorder, revised. Am J Psychiatry 2000; 157: Bouton ME, King DA: Contextual control of the extinction of fear: tests for the associative value of the context. J Exp Psychol Anim Behav Process 1983; 9: Beylin AV, Shors TJ: Stress enhanced excitatory trace eyeblink conditioning and opposes acquisition of inhibitory conditioning. Behav Neurosci 1998; 112: Greer TL, Trivedi MH, Thompson LT: Impaired delay and trace eyeblink conditioning performance in major depressive disorder. J Affect Disord 2005; 86(2 3): Grant BF, Hasin DS, Stinson FS, Dawson DA, Goldstein RB, Smith S, Huang B, Saha TD: The epidemiology of DSM-IV panic disorder and agoraphobia in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry 2006; 67:

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